Decreasing disparities in infant survival using surveillance data from Burkina Faso
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Decreasing disparities in infant survival using surveillance data from Burkina Faso. / Schoeps, Anja; Kynast-Wolf, Gisela; Nesbitt, Robin C; Müller, Olaf; Sié, Ali; Becher, Heiko.
in: AM J TROP MED HYG, Jahrgang 92, Nr. 5, 05.2015, S. 1038-44.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Decreasing disparities in infant survival using surveillance data from Burkina Faso
AU - Schoeps, Anja
AU - Kynast-Wolf, Gisela
AU - Nesbitt, Robin C
AU - Müller, Olaf
AU - Sié, Ali
AU - Becher, Heiko
N1 - © The American Society of Tropical Medicine and Hygiene.
PY - 2015/5
Y1 - 2015/5
N2 - We assessed changes in the effect size of risk factors for infant mortality comparing a birth cohort from 2005 to 2010 with a birth cohort from 1993 to 1999 in the Nouna Health and Demographic Surveillance System (HDSS) in Burkina Faso. Single- and three-level Cox proportional hazards regression models were used for analysis. Independent variables among others included year of birth, ethnicity, religion, age of the mother, birth order, death of the mother, being a twin, and distance to the closest health facility. We observed an infant mortality rate of about 51/1,000 person-years. The strongest risk factors were death of the mother and being a twin, which were also the strongest risk factors from the previous analysis period. Compared with the period 1993-1999, the effect of most risk factors decreased, notably ethnicity, religious affiliation, distance to the closest health facility, birth order, and season of birth. The strongest reduction in mortality occurred in the groups with the previously highest infant mortality rates in 1993-1999.
AB - We assessed changes in the effect size of risk factors for infant mortality comparing a birth cohort from 2005 to 2010 with a birth cohort from 1993 to 1999 in the Nouna Health and Demographic Surveillance System (HDSS) in Burkina Faso. Single- and three-level Cox proportional hazards regression models were used for analysis. Independent variables among others included year of birth, ethnicity, religion, age of the mother, birth order, death of the mother, being a twin, and distance to the closest health facility. We observed an infant mortality rate of about 51/1,000 person-years. The strongest risk factors were death of the mother and being a twin, which were also the strongest risk factors from the previous analysis period. Compared with the period 1993-1999, the effect of most risk factors decreased, notably ethnicity, religious affiliation, distance to the closest health facility, birth order, and season of birth. The strongest reduction in mortality occurred in the groups with the previously highest infant mortality rates in 1993-1999.
KW - Burkina Faso
KW - Cohort Studies
KW - Demography
KW - Family Characteristics
KW - Female
KW - Health Services Accessibility
KW - Humans
KW - Infant
KW - Infant Mortality
KW - Male
KW - Maternal Age
KW - Maternal Death
KW - Population Surveillance
KW - Proportional Hazards Models
KW - Risk Factors
KW - Twins
U2 - 10.4269/ajtmh.14-0390
DO - 10.4269/ajtmh.14-0390
M3 - SCORING: Journal article
C2 - 25802428
VL - 92
SP - 1038
EP - 1044
JO - AM J TROP MED HYG
JF - AM J TROP MED HYG
SN - 0002-9637
IS - 5
ER -